Results 261 to 270 of about 7,772,956 (333)
Some of the next articles are maybe not open access.
Hybrid algorithm for short-term forecasting of PM2.5 in China
Atmospheric Environment, 2019In recent years, the forecasting of particles with a diameter of 2.5 μm or less (PM2.5) has been a popular research topic, and involves multiple sources of pollution, making it difficult to determine all of the contributing meteorological and ...
Yong Cheng +4 more
semanticscholar +1 more source
2009 International Forum on Computer Science-Technology and Applications, 2009
In this paper we develop a new post-pruning algorithm. This new pruning algorithm uses two or more post-pruning algorithms to prune a decision tree that has been built on training set by different orders, and the “best” tree is selected based either on separate test set accuracy or cross-validations from trees coming from result of the above step.
Du Xiangran, Wang Xizhao, Wan Yuanyuan
openaire +1 more source
In this paper we develop a new post-pruning algorithm. This new pruning algorithm uses two or more post-pruning algorithms to prune a decision tree that has been built on training set by different orders, and the “best” tree is selected based either on separate test set accuracy or cross-validations from trees coming from result of the above step.
Du Xiangran, Wang Xizhao, Wan Yuanyuan
openaire +1 more source
Mathematics and Computers in Simulation, 2019
Nowadays, with the development of information technology and economic globalization, supplier selection problem gets more and more attraction. The recent literature shows huge interest in hybrid artificial intelligence (AI)-based models for solving ...
Jing Luan, Z. Yao, Fu Tao Zhao, Xin Song
semanticscholar +1 more source
Nowadays, with the development of information technology and economic globalization, supplier selection problem gets more and more attraction. The recent literature shows huge interest in hybrid artificial intelligence (AI)-based models for solving ...
Jing Luan, Z. Yao, Fu Tao Zhao, Xin Song
semanticscholar +1 more source
Journal of Optimization Theory and Applications, 1994
The optimal, mean-square estimate of the state of a hybrid system is difficult to determine because the equations of state evolution are nonlinear and non-Gaussian. When there is a direct, albeit noisy, measurement of the modal state, it is possible to derive a useful approximation to the optimal estimator.
Sworder, D. D., Vojak, R.
openaire +2 more sources
The optimal, mean-square estimate of the state of a hybrid system is difficult to determine because the equations of state evolution are nonlinear and non-Gaussian. When there is a direct, albeit noisy, measurement of the modal state, it is possible to derive a useful approximation to the optimal estimator.
Sworder, D. D., Vojak, R.
openaire +2 more sources
Reliability Engineering & System Safety, 2019
Over the past 10 years, there have been significant international efforts to modernize Human Reliability Analysis (HRA), with most efforts focused on one of two directions: developing new sources of HRA data from control room simulators, and developing ...
K. Groth, Reuel Smith, R. Moradi
semanticscholar +1 more source
Over the past 10 years, there have been significant international efforts to modernize Human Reliability Analysis (HRA), with most efforts focused on one of two directions: developing new sources of HRA data from control room simulators, and developing ...
K. Groth, Reuel Smith, R. Moradi
semanticscholar +1 more source
Renewable Energy, 2018
The main contribution of this research is formulating the size optimization of grid-independent hybrid wind/photovoltaic/biodiesel/battery systems and proposing a hybrid algorithm on this optimization problem.
Du Guangqian +3 more
semanticscholar +1 more source
The main contribution of this research is formulating the size optimization of grid-independent hybrid wind/photovoltaic/biodiesel/battery systems and proposing a hybrid algorithm on this optimization problem.
Du Guangqian +3 more
semanticscholar +1 more source
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
The paper presents a new graph based clustering algorithm. Traditional clustering algorithms have the drawback that it takes large number of iterations in order to come up with the desired number of clusters. The advantage of this approach is that the size of the dataset is reduced using graph based clustering approach and the required number of ...
openaire +1 more source
The paper presents a new graph based clustering algorithm. Traditional clustering algorithms have the drawback that it takes large number of iterations in order to come up with the desired number of clusters. The advantage of this approach is that the size of the dataset is reduced using graph based clustering approach and the required number of ...
openaire +1 more source
Hybrid Curve Point Distribution Algorithms
SIAM Journal on Scientific Computing, 2002Summary: Effective discretization of parametric curves has many applications in computational fields, ranging from evaluation and representation of complex geometries to geometric processing, grid generation, and numerical simulation. This paper presents a study of methods for point distribution on curves.
Khamayseh, Ahmed, Kuprat, Andrew
openaire +1 more source
A novel hybrid algorithm based on Biogeography-Based Optimization and Grey Wolf Optimizer
Applied Soft Computing, 2018In order to obtain a Biogeography-Based Optimization (BBO) algorithm with strong universal applicability, this paper presents a novel hybrid algorithm based on BBO and Grey Wolf Optimizer (GWO), named HBBOG. Firstly, BBO and GWO are improved respectively.
Xinming Zhang +3 more
semanticscholar +1 more source
2015 Open Conference of Electrical, Electronic and Information Sciences (eStream), 2015
In many research fields we have to deal with multidimensional data. Multidimensional data should be provided in a form that researcher could understand the structure of the given data. Graphical data visualization could be used for this purpose. One of the methods of graphical data visualization is multidimensional scaling.
openaire +1 more source
In many research fields we have to deal with multidimensional data. Multidimensional data should be provided in a form that researcher could understand the structure of the given data. Graphical data visualization could be used for this purpose. One of the methods of graphical data visualization is multidimensional scaling.
openaire +1 more source